Assignment:
Respond to two or more of your colleagues' postings in one or more of the following ways:
- Address the content of each colleague's analysis and evaluation of the topic and of the integration of the relevant resources
- Link each colleague's posting to other colleagues' postings or to other course materials and concepts, where appropriate and relevant
- Extend or constructively challenge your colleagues' work
- Answer question(s) posed by your colleague(s) for further discussion
- Please note that for each response you must include a minimum of one appropriately cited scholarly reference.
Discussion: Data Assumptions and Parametric Statistical Tests
The accuracy of parametric statistical tests is largely based on the data distribution of the collected data. Parametric tests are based on distribution assumptions, such as normality, linearity, equality of variances, etc. These assumptions and others vary based on the statistical test; therefore, it is critical for quantitative researchers to evaluate the assumptions pertaining to their statistical analyses and identify actions taken if assumptions are grossly violated.
To prepare for this Discussion, review the Lumley et al. (2002) article, as well as Lessons 19-21 and 24 in the Green and Salkind (2017) text. Use the Walden Library databases to identify a research example using your doctoral research proposal and consider the role and importance of the assumptions underlying each parametric test.